Skip to content

Chief Data Officer Advisor

Gives strategic advice on AI training data rights, data architecture, data asset valuation and data hiring.

Stars
29,149
Licence
MIT
Files
8 files

What it does

When installed, the agent answers strategic data-leadership questions the way a chief data officer would: whether training a model on customer data is allowed and how risky it is, whether a startup should pick a warehouse, lakehouse or data mesh, how to value customer data for fundraising or acquisition, and which data role to hire next. It bundles reference frameworks and three small Python tools that score a described data inventory, company profile or customer corpus and return a recommendation. It explicitly does not cover hands-on data engineering.

Great for

  • Founders or early leaders at startups who lack a chief data officer and need a structured decision framework
  • Teams deciding whether they can use customer or scraped data to train or fine-tune models
  • Startups preparing data assets for fundraising or M&A diligence

Skip it if

  • Tactical data engineering such as writing schemas, queries or pipelines; the skill itself redirects to other tools for that
  • Legal decisions: the audit script states it is not legal advice, so consent and copyright conclusions need qualified counsel
  • Large enterprises with complex governance, since the stage-based heuristics are written for startups

Try asking

  • “Can we fine-tune our model on customer support tickets that were only covered by our terms of service?”
  • “Should a 5-person startup with 8 data consumers adopt a lakehouse or stay with a warehouse?”
  • “Value our B2B sales-engagement corpus of 380 customers for a Series B fundraise.”
  • “Which should we hire next, an analytics engineer or a data scientist?”
Step-by-step guide: how to use Chief Data Officer AdvisorInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 8 original files, the MIT licence and an attribution note.

    chief-data-officer-advisor.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip chief-data-officer-advisor.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip chief-data-officer-advisor.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Describe your data sources with their consent origin and data class explicitly; vague inputs produce vague GO/NO-GO results.
  • Treat script outputs as structured prompts for discussion with counsel and your finance team, not as final legal or valuation opinions.
  • Review the embedded sample inputs first to understand which fields the scripts expect before supplying your own JSON.

What's inside

  • references/ai_training_data_rights.md
  • references/customer_data_as_asset.md
  • references/data_product_strategy.md
  • references/data_team_org_evolution.md
  • scripts/ai_training_data_audit.py
  • scripts/data_asset_valuator.py
  • scripts/data_product_strategy_picker.py
  • SKILL.md

Redistributed unmodified from alirezarezvani/claude-skills under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.